Applied ML Engineer (Speech/ASR/LLMs) - Senior (Brazil / Argentina)

About the role

We’re looking for an Applied ML Engineer to lead the development and operationalization of machine learning models powering real-world AI products.

The primary focus of the role will be building and improving speech-to-text (ASR) systems for medical conversations in Brazilian Portuguese and Latin American Spanish, while also contributing to LLM fine-tuning, clinical classifiers, and production ML infrastructure.

This is a highly hands‑on role focused on taking models from experimentation to production.

What you’ll do

- Design, train, fine‑tune, and deploy ML models for speech and language applications
- Build and maintain training pipelines and evaluation frameworks
- Work on ASR systems for domain‑specific medical conversations
- Develop and improve data pipelines and ML infrastructure
- Collaborate on LLM fine‑tuning and classifier development
- Optimize model performance, reliability, and scalability
- Partner with product and domain teams to translate business needs into ML solutions




- Contribute to production deployment and monitoring of ML systems

What we’re looking for

Strong experience building and operationalizing ML models in production

Hands‑on experience with:

- ASR / speech models / audio ML
- PyTorch or modern ML frameworks
- ML infrastructure and distributed training

Experience building:

- evaluation frameworks

Strong programming skills in Python

Ability to work independently in ambiguous environments

Experience collaborating across technical and non-technical teams

Nice to have

Experience with:

- orchestration frameworks
- clinical or healthcare data
- Experience building data flywheels or feedback loops
- Experience with GPU orchestration and experiment tracking
- Fluency in Portuguese and/or Spanish

Full-time

Note

This is an applied ML engineering role, not a pure research position. We are looking for builders who can take models from experimentation through deployment and production operation.

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